Juan Nunez-Iglesias

17 papers B 1Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Needles in the Haystack-Rapid Error Detection for Cell Tracking Solutions.
ISBI
Draga Doncila Pop, Pierre Le Bodic, Juan Nunez-Iglesias
2018 J jnl
Synaptic Cleft Segmentation in Non-Isotropic Volume Electron Microscopy of the Complete Drosophila Brain.
CoRR
Larissa Heinrich, Jan Funke, Constantin Pape, Juan Nunez-Iglesias, Stephan Saalfeld
2018 — conf
Synaptic Cleft Segmentation in Non-isotropic Volume Electron Microscopy of the Complete Drosophila Brain.
MICCAI (2)
Larissa Heinrich, Jan Funke, Constantin Pape, Juan Nunez-Iglesias, Stephan Saalfeld
2014 J jnl
Graph-based active learning of agglomeration (GALA): a Python library to segment 2D and 3D neuroimages.
Frontiers Neuroinformatics
Juan Nunez-Iglesias, Ryan Kennedy, Stephen M. Plaza, Anirban Chakraborty, William T. Katz
2014 J jnl
scikit-image: Image processing in Python.
CoRR
Stéfan van der Walt, Johannes L. Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D. Warner, Neil Yager, Emmanuelle Gouillart, Tony Yu
2013 J jnl
Electron Microscopy Reconstruction of Brain Structure Using Sparse Representations Over Learned Dictionaries.
IEEE Trans. Medical Imaging
Tao Hu, Juan Nunez-Iglesias, Shiv Naga Prasad Vitaladevuni, Lou Scheffer, Shan Xu, Mehdi Bolorizadeh, Harald F. Hess, Richard Fetter, Dmitri B. Chklovskii
2013 J jnl
Machine learning of hierarchical clustering to segment n-dimensional images
CoRR
Juan Nunez-Iglesias, Ryan Kennedy, Toufiq Parag, Jianbo Shi, Dmitri B. Chklovskii
2012 J jnl
Betamax: Towards Optimal Sampling Strategies for High-Throughput Screens.
J. Comput. Biol.
Dhruv Grover, Juan Nunez-Iglesias
2012 J jnl
Super-resolution using Sparse Representations over Learned Dictionaries: Reconstruction of Brain Structure using Electron Microscopy.
CoRR
Tao Hu, Juan Nunez-Iglesias, Shiv Naga Prasad Vitaladevuni, Lou Scheffer, Shan Xu, Mehdi Bolorizadeh, Harald F. Hess, Richard Fetter, Dmitri B. Chklovskii
2011 — conf
High Resolution Segmentation of Neuronal Tissues from Low Depth-Resolution EM Imagery.
EMMCVPR
Daniel Glasner, Tao Hu, Juan Nunez-Iglesias, Lou Scheffer, Shan Xu, Harald F. Hess, Richard Fetter, Dmitri B. Chklovskii, Ronen Basri
2010 J jnl
An integrative modular approach to systematically predict gene-phenotype associations.
BMC Bioinform.
Michael R. Mehan, Juan Nunez-Iglesias, Chao Dai, Michael S. Waterman, Xianghong Jasmine Zhou
2009 J jnl
An Integrative Network Approach to Map the Transcriptome to the Phenome.
J. Comput. Biol.
Michael R. Mehan, Juan Nunez-Iglesias, Mrinal Kalakrishnan, Michael S. Waterman, Xianghong Jasmine Zhou
2009 J jnl
Usefulness and limitations of dK random graph models to predict interactions and functional homogeneity in biological networks under a pseudo-likelihood parameter estimation approach.
BMC Bioinform.
Wenhui Wang, Juan Nunez-Iglesias, Yihui Luan, Fengzhu Sun
2008 B conf
An Integrative Network Approach to Map the Transcriptome to the Phenome.
RECOMB
Michael R. Mehan, Juan Nunez-Iglesias, Mrinal Kalakrishnan, Michael S. Waterman, Xianghong Jasmine Zhou
2007 — conf
Characterizing Disease-specific Pathways and Their Coordination by Integrative Microarray Analysis with Application to Cancer.
BIOCOMP
Min Xu, Ming-Chih J. Kao, Juan Nunez-Iglesias, Joseph Nevins, Mike West, Xianghong Jasmine Zhou
2007 J jnl
Gene Aging Nexus: a web database and data mining platform for microarray data on aging.
Nucleic Acids Res.
Fei Pan, Chi-Hsien Chiu, Sudip Pulapura, Michael R. Mehan, Juan Nunez-Iglesias, Kangyu Zhang, Kiran Kamath, Michael S. Waterman, Caleb E. Finch, Xianghong Jasmine Zhou
2006 J jnl
Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data.
Bioinform.
Fei Pan, Kiran Kamath, Kangyu Zhang, Sudip Pulapura, Avinash Achar, Juan Nunez-Iglesias, Yu Huang, Xifeng Yan, Jiawei Han, Haiyan Hu, Min Xu, Jianjun Hu, Xianghong Jasmine Zhou